Artificial Intelligence and the Enhancement of Library Science and Information Science: Potential for Sustainable Development
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Abstract
In the era of digital revolution, where Artificial Intelligence (AI) technology plays a crucial role across all sectors, libraries and library science cannot avoid this major transformation. This article aims to analyze the role of AI technology in transforming the structure and operational models of modern libraries, as well as its connection to the Sustainable Development Goals (SDGs), particularly SDG 4 on quality education and lifelong learning, through a literature review and analysis of global trends.
The study reveals that modern libraries have undergone a significant transformation in their role from single information service providers to integrated information service hubs. AI technology plays a crucial role in developing services across six main areas: 1) automated conversational systems and virtual assistants that provide 24/7 question-answering and user assistance services; 2) intelligent recommendation and discovery systems that analyze user behavior to suggest resources tailored to individual needs; 3) intelligent information search systems that process natural language and provide highly relevant results; 4) security systems that use image and behavior analysis to prevent resource loss; 5) automated cataloging and classification that enhances collection management efficiency; and 6) resource and inventory management covering demand forecasting, reorder point calculation, and multi-branch resource management.
In education, AI technology has demonstrated potential in supporting SDG4 through the development of adaptive learning systems, academic performance prediction systems, educational resource management systems, and data analytics systems for informed educational decision-making. It also supports lifelong learning by providing age-appropriate content adaptation and personalized learning pathways.
The opportunities and challenges arising from implementing AI technology in library work include the potential for librarians to elevate their roles from information custodians to knowledge managers and learning consultants, allowing for more time to develop creative services, and enhanced collaboration with specialists across various fields. The main challenges include developing technological skills, managing change, addressing privacy and data security concerns, and maintaining balance between increased efficiency and preserving human elements in service delivery.
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บทความทุกเรื่องที่ลงตีพิมพ์จะได้รับการตรวจอ่านโดยผู้ทรงคุณวุฒิ ความคิดเห็นและบทความที่ปรากฏในวารสารนี้ เป็นของผู้เขียนซึ่งมิใช่เป็นความคิดเห็นของคณะผู้จัดทำ และมิใช่ความรับผิดชอบของสมาคมห้องสมุดแห่งประเทศไทยฯ การนำบทความในวารสารนี้ไปตีพิมพ์ซ้ำต้องได้รับอนุญาตจากคณะผู้จัดทำ
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References
Appleton, L. (2024). AI and academic libraries: What's all the fuss about? New Review of Academic Librarianship, 30(1), 1-10. https://doi.org/10.1080/13614533.2024.2356474
Cox, A. (2022). How artificial intelligence might change academic library work: Applying the competencies literature and the theory of the professions. Journal of the Association for Information Science and Technology, 74(3), 367-380. https://doi.org/10.1002/asi.24635
Friesen, E., Tanna, H., and Roy, A. (2023). Artificial intelligence in subject-specific library work: Trends, perspectives, and opportunities. Canadian Journal of Academic Librarianship, 9, 1-26. https://doi.org/10.33137/cjal-rcbu.v9.39951
Hervieux, S., and Wheatley, A. (2021). Perceptions of artificial intelligence: A survey of academic librarians in Canada and the United States. The Journal of Academic Librarianship, 47(1), 102270. https://doi.org/10.1016/j.acalib.2020.102270
Kaushal, V., and Yadav, R. (2022). The role of chatbots in academic libraries: An experience-based perspective. Journal of the Australian Library and Information Association, 71(3), 215-237. https://doi.org/10.1080/24750158.2022.2106403
Kulkov, I. (2024). Artificial intelligence‐driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals. Sustainable Development, 32(3), 1-18. https://doi.org/10.1002/sd.2773
Liau, Y. C. (2024). Exclusive! experience NLB's Gen AI-powered ChatBook to discover Singapore's history. OpenGov Asia. Retrieved from https://opengovasia.com/2024/09/13/exclusive-experience-nlbs-gen-ai-powered-chatbook-to-discover-singapores-history/
Lo, L. S. (2024). Evaluating AI literacy in academic libraries: A survey study with a focus on U.S. employees. College & Research Libraries, 85(5), 635-658. https://doi.org/10.5860/crl.85.5.635
Lund, B. D., Wang, T., Mannuru, N. R., Nie, B., Shimray, S., and Wang, Z. (2023). ChatGPT and a new academic reality: Artificial intelligence‐written research papers and the ethics of the large language models in scholarly publishing. Journal of the Association for Information Science and Technology, 74(5), 570-581. https://doi.org/10.1002/asi.24750
Malan, D. J. (2024). "Quacking" into computer programming. Harvard John A. Paulson School of Engineering and Applied Sciences. Retrieved from https://seas.harvard.edu/news/2024/01/quacking-computer-programming
Musikorn, S., and Keerin, P. (2021). Development of PSRU-LIB Line Bot services support systems with WALAI AutoLib for service support systems for library 4.0. Journal of Technology Management, Mahasarakham Rajabhat University, 8(1), 165-176.
Rodriguez, S., and Mune, C. (2022). Uncoding library chatbots: Deploying a new virtual reference tool at the San Jose State University library. Reference Services Review, 50(3/4), 392-405. https://doi.org/10.1108/RSR-05-2022-0020
Singh, V. K., Singh, P., Karmakar, M., Leta, J., and Mayr, P. (2024). Artificial intelligence for Sustainable Development Goals: Bibliometric patterns and concept evolution trajectories. Sustainable Development, 32(2), 758-775. https://doi.org/10.1002/sd.2706
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., and Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the sustainable development goals. Nature Communications, 11(1), 233. https://doi.org/10.1038/s41467-019-14108-y